Dataset statistics
Number of variables | 23 |
---|---|
Number of observations | 52 |
Missing cells | 19 |
Missing cells (%) | 1.6% |
Total size in memory | 9.5 KiB |
Average record size in memory | 186.5 B |
Variable types
Unsupported | 14 |
---|---|
Categorical | 9 |
Unnamed: 3 has a high cardinality: 51 distinct values | High cardinality |
Unnamed: 4 has a high cardinality: 51 distinct values | High cardinality |
대한민국 2018년 매출 상위 500대 기업 (단위 : 백만 원) has 1 (1.9%) missing values | Missing |
Unnamed: 1 has 1 (1.9%) missing values | Missing |
Unnamed: 2 has 1 (1.9%) missing values | Missing |
Unnamed: 3 has 1 (1.9%) missing values | Missing |
Unnamed: 4 has 1 (1.9%) missing values | Missing |
Unnamed: 5 has 1 (1.9%) missing values | Missing |
Unnamed: 6 has 1 (1.9%) missing values | Missing |
Unnamed: 8 has 1 (1.9%) missing values | Missing |
Unnamed: 9 has 1 (1.9%) missing values | Missing |
Unnamed: 11 has 1 (1.9%) missing values | Missing |
Unnamed: 12 has 1 (1.9%) missing values | Missing |
Unnamed: 14 has 1 (1.9%) missing values | Missing |
Unnamed: 15 has 1 (1.9%) missing values | Missing |
Unnamed: 16 has 1 (1.9%) missing values | Missing |
Unnamed: 17 has 1 (1.9%) missing values | Missing |
Unnamed: 19 has 1 (1.9%) missing values | Missing |
Unnamed: 20 has 1 (1.9%) missing values | Missing |
Unnamed: 21 has 1 (1.9%) missing values | Missing |
Unnamed: 22 has 1 (1.9%) missing values | Missing |
대한민국 2018년 매출 상위 500대 기업 (단위 : 백만 원) is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 1 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Reproduction
Analysis started | 2022-06-15 05:14:01.239410 |
---|---|
Analysis finished | 2022-06-15 05:14:01.313475 |
Duration | 0.07 seconds |
Software version | pandas-profiling v3.0.0 |
Download configuration | config.json |
Distinct | 23 |
---|---|
Distinct (%) | 45.1% |
Missing | 1 |
Missing (%) | 1.9% |
Memory size | 544.0 B |
- | |
---|---|
▲ 4 | |
▼ 2 | |
▼ 3 | |
▲ 1 | |
Other values (18) |
Unique
Unique | 11 ? |
---|---|
Unique (%) | 21.6% |
Sample
1st row | 변동 |
---|---|
2nd row | - |
3rd row | - |
4th row | ▲ 1 |
5th row | ▼ 1 |
Common Values
Value | Count | Frequency (%) |
- | 7 | |
▲ 4 | 6 | 11.5% |
▼ 2 | 5 | 9.6% |
▼ 3 | 4 | 7.7% |
▲ 1 | 3 | 5.8% |
▲ 5 | 3 | 5.8% |
▼ 4 | 2 | 3.8% |
▲ 2 | 2 | 3.8% |
▼ 5 | 2 | 3.8% |
▼ 9 | 2 | 3.8% |
Other values (13) | 15 |
Distinct | 51 |
---|---|
Distinct (%) | 100.0% |
Missing | 1 |
Missing (%) | 1.9% |
Memory size | 544.0 B |
기업명 | 1 |
---|---|
한국산업은행 | 1 |
우리은행 | 1 |
신한은행 | 1 |
CJ제일제당 | 1 |
Other values (46) |
Unique
Unique | 51 ? |
---|---|
Unique (%) | 100.0% |
Sample
1st row | 기업명 |
---|---|
2nd row | 삼성전자 |
3rd row | 현대자동차 |
4th row | 포스코 |
5th row | LG전자 |
Common Values
Value | Count | Frequency (%) |
기업명 | 1 | 1.9% |
한국산업은행 | 1 | 1.9% |
우리은행 | 1 | 1.9% |
신한은행 | 1 | 1.9% |
CJ제일제당 | 1 | 1.9% |
두산 | 1 | 1.9% |
국민은행 | 1 | 1.9% |
한국토지주택공사 | 1 | 1.9% |
롯데쇼핑 | 1 | 1.9% |
DB손해보험 | 1 | 1.9% |
Other values (41) | 41 |
Distinct | 51 |
---|---|
Distinct (%) | 100.0% |
Missing | 1 |
Missing (%) | 1.9% |
Memory size | 544.0 B |
법인 등록번호 | 1 |
---|---|
110135-0000937 | 1 |
110111-0023393 | 1 |
110111-0012809 | 1 |
110111-3748253 | 1 |
Other values (46) |
Unique
Unique | 51 ? |
---|---|
Unique (%) | 100.0% |
Sample
1st row | 법인 등록번호 |
---|---|
2nd row | 130111-0006246 |
3rd row | 110111-0085450 |
4th row | 174611-0000741 |
5th row | 110111-2487050 |
Common Values
Value | Count | Frequency (%) |
법인 등록번호 | 1 | 1.9% |
110135-0000937 | 1 | 1.9% |
110111-0023393 | 1 | 1.9% |
110111-0012809 | 1 | 1.9% |
110111-3748253 | 1 | 1.9% |
110111-0013774 | 1 | 1.9% |
110111-2365321 | 1 | 1.9% |
135671-0033355 | 1 | 1.9% |
110111-0000086 | 1 | 1.9% |
110111-0095285 | 1 | 1.9% |
Other values (41) | 41 |
Distinct | 50 |
---|---|
Distinct (%) | 98.0% |
Missing | 1 |
Missing (%) | 1.9% |
Memory size | 544.0 B |
2011.01.01 | 2 |
---|---|
1984.04.20 | 1 |
1954.04.01 | 1 |
1899.01.30 | 1 |
1897.02.19 | 1 |
Other values (45) |
Unique
Unique | 49 ? |
---|---|
Unique (%) | 96.1% |
Sample
1st row | 설립일 |
---|---|
2nd row | 1969.01.13 |
3rd row | 1967.12.29 |
4th row | 1968.03.25 |
5th row | 2002.04.01 |
Common Values
Value | Count | Frequency (%) |
2011.01.01 | 2 | 3.8% |
1984.04.20 | 1 | 1.9% |
1954.04.01 | 1 | 1.9% |
1899.01.30 | 1 | 1.9% |
1897.02.19 | 1 | 1.9% |
2007.09.01 | 1 | 1.9% |
1933.12.18 | 1 | 1.9% |
2001.11.01 | 1 | 1.9% |
2009.10.01 | 1 | 1.9% |
1970.07.02 | 1 | 1.9% |
Other values (40) | 40 |
Distinct | 16 |
---|---|
Distinct (%) | 31.4% |
Missing | 1 |
Missing (%) | 1.9% |
Memory size | 544.0 B |
석유화학 | |
---|---|
보험 | |
은행 | |
IT전기전자 | |
조선.기계.설비 | |
Other values (11) |
Unique
Unique | 3 ? |
---|---|
Unique (%) | 5.9% |
Sample
1st row | 업종 |
---|---|
2nd row | IT전기전자 |
3rd row | 자동차.부품 |
4th row | 철강 |
5th row | IT전기전자 |
Common Values
Value | Count | Frequency (%) |
석유화학 | 8 | |
보험 | 6 | |
은행 | 6 | |
IT전기전자 | 5 | |
조선.기계.설비 | 3 | 5.8% |
자동차.부품 | 3 | 5.8% |
공기업 | 3 | 5.8% |
상사 | 3 | 5.8% |
건설 및 건자재 | 3 | 5.8% |
철강 | 2 | 3.8% |
Other values (6) | 9 |
Unnamed: 13
Categorical
Distinct | 3 |
---|---|
Distinct (%) | 5.8% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 544.0 B |
연결 | |
---|---|
2018년 | 1 |
기준 | 1 |
Unique
Unique | 2 ? |
---|---|
Unique (%) | 3.8% |
Sample
1st row | 2018년 |
---|---|
2nd row | 기준 |
3rd row | 연결 |
4th row | 연결 |
5th row | 연결 |
Common Values
Value | Count | Frequency (%) |
연결 | 50 | |
2018년 | 1 | 1.9% |
기준 | 1 | 1.9% |
Distinct | 2 |
---|---|
Distinct (%) | 3.9% |
Missing | 1 |
Missing (%) | 1.9% |
Memory size | 544.0 B |
2018/12 | |
---|---|
결산 연월 | 1 |
Unique
Unique | 1 ? |
---|---|
Unique (%) | 2.0% |
Sample
1st row | 결산 연월 |
---|---|
2nd row | 2018/12 |
3rd row | 2018/12 |
4th row | 2018/12 |
5th row | 2018/12 |
Common Values
Value | Count | Frequency (%) |
2018/12 | 50 | |
결산 연월 | 1 | 1.9% |
(Missing) | 1 | 1.9% |
Unnamed: 18
Categorical
Distinct | 3 |
---|---|
Distinct (%) | 5.8% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 544.0 B |
연결 | |
---|---|
2017년 | 1 |
기준 | 1 |
Unique
Unique | 2 ? |
---|---|
Unique (%) | 3.8% |
Sample
1st row | 2017년 |
---|---|
2nd row | 기준 |
3rd row | 연결 |
4th row | 연결 |
5th row | 연결 |
Common Values
Value | Count | Frequency (%) |
연결 | 50 | |
2017년 | 1 | 1.9% |
기준 | 1 | 1.9% |
Distinct | 2 |
---|---|
Distinct (%) | 3.9% |
Missing | 1 |
Missing (%) | 1.9% |
Memory size | 544.0 B |
2017/12 | |
---|---|
결산 연월 | 1 |
Unique
Unique | 1 ? |
---|---|
Unique (%) | 2.0% |
Sample
1st row | 결산 연월 |
---|---|
2nd row | 2017/12 |
3rd row | 2017/12 |
4th row | 2017/12 |
5th row | 2017/12 |
Common Values
Value | Count | Frequency (%) |
2017/12 | 50 | |
결산 연월 | 1 | 1.9% |
(Missing) | 1 | 1.9% |